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Title: Linear Algebra: A Geometric Approach by Ted Shifrin, Malcolm Ritchie Adams, Theodore Shifrin ISBN: 0-7167-4337-X Publisher: W.H. Freeman & Company Pub. Date: 01 July, 2001 Format: Hardcover Volumes: 1 List Price(USD): $126.40 |
Average Customer Rating: 2.33 (6 reviews)
Rating: 1
Summary: agreed! worse math book EVER written
Comment: this is by far the worse math book I have ever read in my life! not only is it hard to learn from the book due to the errors and bad workings, but the examples done in the book do NOT help at all with the problems, and solutions given in the book are so few. STAY AWAY from this book, the author does not deserve your money!
Rating: 5
Summary: Update
Comment: The authors very much appreciate the feedback that has been posted here. Due in large part to the hue and cry from the students at Duke University (several of whom posted their outrage here) as well as from many of our own, Freeman has put out a new printing and we hope that the binding problems will have been solved. The most egregious typos of which we were aware have also been fixed.
The authors are most anxious to hear from you directly if you find typos or have complaints about unreadable sections, misleading exercises, and so on.
(Hey, we had to fill in the rating! We tried to leave it blank, but the computer wouldn't let us!)
Rating: 5
Summary: In fact it's a quite good book.
Comment: I used it to review linear algebra before entering graduate school. It works good for me, although I already knew how the math part works.
I guess to have a geometry picture of linear algebra is very important when you finanlly use it to solve real problems because it'll allow you to model or understand the model of the problem. This will be very helpful when you take courses in statistics, applied math or machine learning.
This book has a few points confused me for a while (one day or two), but the process of figuring out what the author actually want to say indeed improved my understanding on the topic.
The teaching in linear algebra is somehow very different. Some teaches determinant first, some teaches matrix as linear functions first and others teach spaces and vectors first. The consequence is if you are following one approach than before you finish in that direction you may not be able to switch to the other.
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